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Probability theory and basic statistics with emphasis on engineering applications. Discrete and continuous probability models and their use in analysis of experimental data, quality control, manufacturing processes and Monte Carlo simulation. Basic regression analysis and statistical procedures for estimation. Prerequisite: MATH 132 or equivalent.

The fundamentals of the science of thermodynamics, control volume analysis of the conservation of mass and energy and the second law of thermodynamics, pure substance property relations, applications to refrigeration and power systems. Prerequisites: PHYSICS 151 , MATH 132 and MATH 233. MATH 233 may be taken concurrently.

Analysis of the stress and strain in structural members due to axial loads, torsion and bending. Prerequisite: M&I-ENG 210.

A vector treatment of equilibrium of particles and rigid bodies. Forces, moments, couples, equations of equilibrium, free-body diagrams, machines, trusses, frames, friction and centroids. Shear and bending moment diagrams. Prerequisites: MATH 132 and PHYSICS 151

Engineering materials including metals, polymers, ceramics, and composites. Emphasis on the relationship between the microstructure of materials and their mechanical behavior, including the fundamentals of design for performance. Prerequisite: CHEM 111.

Introduction to the fundamentals of computer programming for engineering problem solving and analysis. Creating algorithms for data manipulation and for solving basic mathematical expressions which model real world phenomena.

Introduction to the fundamentals of computer programming for engineering problem solving and analysis. Creating algorithms for data manipulation and for solving basic mathematical expressions which model real world phenomena.

Introduction to the fundamentals of computer programming for engineering problem solving and analysis. Creating algorithms for data manipulation and for solving basic mathematical expressions which model real world phenomena.

Introduction to the fundamentals of computer programming for engineering problem solving and analysis. Creating algorithms for data manipulation and for solving basic mathematical expressions which model real world phenomena.